جست‌وجوی استاد و پژوهشگر

Mauricio Papaمشاهده پروفایل

استاد

• Critical Infrastructure Protection
• Operational Technology Security
• Industrial Control Systems
• +۵ مورد دیگر

Mauricio Papa serves as the Brock Professor within the Tandy School of Computer Science and Cyber Studies at The University of Tulsa's College of Engineering & Natural Sciences. His academic career spans critical infrastructure protection and operational technology security, with extensive collaboration across government agencies and industry sectors. Dr. Papa's educational background includes: Ph.D. in Computer Science from The University of Tulsa (2001) M.S. in Electrical Engineering from The University of Tulsa (1996) B.S. in Electrical Engineering from Universidad Central de Venezuela (1992) His research focuses on securing industrial control systems across critical infrastructure sectors, particularly in energy and transportation. Papa's work integrates network security principles with operational technology requirements, developing specialized intrusion detection systems, protocol analysis frameworks, and predictive analytics for industrial environments. His methodology emphasizes practical implementation in real-world OT settings where traditional IT security approaches often fail due to legacy system constraints and safety requirements. Analysis of his recent publications reveals a strong concentration on machine learning applications for OT security, with increasing emphasis on graph-based anomaly detection, IoT device fingerprinting, and cost-sensitive alert management. His work consistently bridges theoretical cybersecurity concepts with practical industrial applications, particularly in electric power systems and nuclear facilities. Dr. Papa has secured significant research funding through multiple federal agencies including DARPA, Department of Defense, Department of Justice, National Science Foundation, and Department of Energy, along with private industry partnerships. His projects have involved designing and deploying critical infrastructure protection labs, developing forensic tools for transportation systems, and creating simulation frameworks for nuclear reactor security. He has established specialized research facilities including a critical infrastructure protection lab for electric power sector security testing and has contributed to multi-institutional projects involving Washington State University and Pacific Northwest National Laboratory. His current work focuses on developing testbeds and cybersecurity solutions specifically for energy sector applications.

Siamak Layeghyمشاهده پروفایل

مدرس

• Cyber Security
• Artificial Intelligence (AI)/Machine Learning (ML)
• Network Security
• +۴ مورد دیگر

Dr. Siamak Layeghy is a Lecturer in the School of Electrical Engineering and Computer Science at The University of Queensland. He holds a PhD in Information Technology and Electrical Engineering from UQ (2018). His research focuses on AI/ML-driven cybersecurity solutions, particularly network intrusion detection systems (NIDS), IoT security, edge learning, and software-defined networking (SDN). Education : PhD in Information Technology and Electrical Engineering, The University of Queensland (2018) Research Interests : Application of ML techniques (Transformers, GNNs, GANs) for network and IoT security Edge computing and hardware acceleration (e.g., Edge TPU) Domain-invariant NIDS and cross-platform security solutions Federated learning and blockchain for collaborative intrusion detection His work emphasizes explainability, generalization, and real-world deployability of AI models in cybersecurity. Publications : Over 50 peer-reviewed articles, including high-impact journals like Expert Systems with Applications and IEEE Transactions . Key themes include sensor-based anomaly detection, SDN security, and framework development (e.g., FlowTransformer). Labs/Teams : Active contributor to the development of open-source frameworks like FlowTransformer and datasets such as NF-CSE-CIC-IDS2018-v3. Collaborates with industry partners on IoT security and edge computing.

• Cyber/Physical Security
• Information Technology
• Web-Based Education Technology
• +۵ مورد دیگر

John Williams is a Professor at the Massachusetts Institute of Technology (MIT) in the Resilient Systems & Mobility department. He holds a BA in Physics from Oxford University (1971), an M.S. in Physics from the University of California, Los Angeles (1973), and a Ph.D. in Numerical Methods from Swansea University (1977). His research focuses on Cyber/Physical Security, Information Technology, Web-Based Education Technology, Large-Scale Network Simulation, GeoNumerics of Granular Systems, and Computational Fluid Dynamics. He has contributed to pioneering work on high-performance computing resilience, particle-based numerical methods, and smart grid security. Notably, he received the Best Overall Paper and Best Paper awards at the SpringSim 2011 conference for his work on parallel computation and reservoir characterization. His research integrates computational methods with real-world applications in energy systems, porous media, and cyber-physical systems. Dr. Williams’ academic contributions span over four decades, with a strong emphasis on interdisciplinary collaboration. His lab (geospatial.mit.edu) explores geospatial visualization and big data analytics in cyber-physical systems. He has advised on projects involving container migration in HPC, lattice Boltzmann simulations, and smart grid security protocols. His work bridges theoretical numerical methods with practical engineering challenges, such as optimizing oil reservoir simulations and improving cybersecurity for critical infrastructure. Education: BA Physics (Oxford, 1971), M.S. Physics (UCLA, 1973), Ph.D. Numerical Methods (Swansea, 1977) Affiliations: MIT Resilient Systems & Mobility, Geospatial Lab Awards: Best Paper (SpringSim 2011), Best Overall Paper (SpringSim 2011)

Gregory Bakerمشاهده پروفایل

استاد

• Geophysics
• Environmental Geology
• Remote Sensing
• +۳ مورد دیگر

Gregory Baker is a Professor of Geology at Colorado Mesa University, specializing in near-surface geophysical techniques and field-based education. He holds a PhD in Geophysics from the University of Kansas and advanced degrees from Lehigh University. His research focuses on applying advanced imaging technologies like ground-penetrating radar, seismic tomography, and UAV/sUAS (drone) photogrammetry to study Earth science problems, including glacial deposits, paleoenvironments, and hydrogeological processes. Baker emphasizes a 'learning by doing' philosophy, integrating practical fieldwork and data analysis into his teaching. His recent studies explore loess deposits, dune dynamics, and flood modeling using innovative spatial technologies. He actively collaborates with academic platforms like ResearchGate and Twitter to disseminate findings. Research interests include: Geophysical prospection methods (seismic, GPR, drone imaging) Paleoenvironmental reconstruction through fossils and sediment records Hydrogeological characterization of fractured bedrock systems Geomorphological analysis of aeolian and fluvial landscapes Integration of geoscience education with field technology Recent work highlights: Baker's 2024 research advances understanding of fluorite-galena deposits through multi-technique geophysical analysis, while 2023 studies use drones to map Holocene dune evolution and dinosaur trackways. His 2022 work applies azimuthal seismic tomography to fracture networks, enhancing groundwater resource assessment. These projects reflect his commitment to bridging geophysical innovation with environmental problem-solving.

• Internet of Things
• Cyber Physical Systems
• Smart Infrastructures
• +۶ مورد دیگر

Professor Ali Kashif Bashir serves as Professor of Computer Networks and Cybersecurity at Manchester Metropolitan University's Department of Computing and Mathematics within the Faculty of Science and Technology. He leads the Future Networks lab and maintains 7 honorary and adjunct professor positions globally. His extensive academic service includes membership on the Council of Professors and Heads of Computing (CPHC) in the UK and serving as an expert reviewer for multiple international research councils including EPSRC (UK), Irish Research Council, and NSERC (Canada). BS from University of Management and Technology, Pakistan MS from Ajou University, South Korea PhD in Computer Science and Engineering from Korea University, South Korea Professor Bashir's research focuses on the intersection of cybersecurity, IoT, and AI, with particular emphasis on securing cyber-physical systems and developing AI algorithms to solve network security challenges. His work bridges theoretical advancements with practical implementations in smart infrastructure security. He has presented over 45 keynote speeches at international conferences and published more than 300 research articles in high-impact journals and conferences. His publication record demonstrates a strong focus on emerging security challenges in the Internet of Things ecosystem, particularly drone networks and software-defined networking environments. His recent work shows a trend toward integrating deep learning techniques with traditional security protocols to address sophisticated cyber threats in evolving network architectures. IEEE Featured Author 2021 World's Top 2% Scientists by Stanford University (2021, 2022) Shortlisted for Clarivate Highly Cited award 2023 ACM Distinguished Speaker (2019-2022) Multiple best paper and thesis awards Professor Bashir actively supervises numerous PhD students across multiple institutions worldwide and mentors KTP associates on industry-academia collaboration projects. His grant portfolio includes significant funding from Innovate UK, EPSRC, and international research councils, totaling millions of pounds for projects focused on Industry 4.0 capabilities, cybersecurity, machine learning, and predictive maintenance systems. As leader of the Future Networks lab, Professor Bashir directs research on next-generation network security solutions. His team collaborates with industry partners including Package Automation LTD and Broderick, focusing on practical implementations of theoretical security frameworks in real-world industrial settings.

• Hardware Design for Network Devices
• Fault Tolerance
• Error Correction Codes
• +۳ مورد دیگر

Salvatore Pontarelli is a Researcher at CNIT (Italian National Inter-University Consortium for Telecommunications), affiliated with the University of Rome Tor Vergata. He holds a Master's in Electronic Engineering from the University of Bologna (2000) and a PhD in Microelectronics and Telecommunications from the University of Rome Tor Vergata (2003). His work focuses on hardware design for network devices, fault tolerance, error correction codes, and high-speed packet processing. He contributed to EU-funded projects and received a CISCO Research Award (2011) for work on Bloom filters and Ternary CAM. Research interests include hash-based structures (e.g., Bloom filters, hash tables), stateful programmable data planes, and FPGA-based network intrusion detection systems. He led the Defect and Fault Tolerance Group (DFTGroup) under Prof. Adelio Salsano and has extensive experience in collaborative projects with academic and industry partners. Publications highlight innovations in flow monitoring, data plane optimization, and efficient memory management. His work often bridges theoretical algorithms (e.g., cuckoo hashing) with practical hardware implementations, emphasizing real-world applications in networking and telecommunications.

Zuyi Liمشاهده پروفایل

استاد

• Power Systems
• Smart Grid
• Renewable Energy
• +۵ مورد دیگر

Zuyi Li is a Professor and Grainger Endowed Chair in Electrical and Power Engineering at Illinois Institute of Technology (IIT), affiliated with the Armour College of Engineering and the Department of Electrical and Computer Engineering . He serves as Associate Director of the Robert W. Galvin Center for Electricity Innovation , leading research in smart grid technologies and renewable energy integration. His research focuses on power systems optimization , smart grid security , renewable energy integration , and cyber-physical resilience . Key areas include large-scale optimization for grid operations, market design for electricity systems, and mitigating cyber threats in critical infrastructure. Dr. Li’s awards include the 2025 IEEE Fellow , 2011 ECEDHA Innovation Award , and multiple best paper awards. His work bridges theory and practice, addressing challenges like renewable energy penetration and grid reliability under cyberattacks. He leads projects such as the Bronzeville Community Microgrid and IIT Campus Microgrid , advancing decentralized energy systems. His research also explores machine learning for grid analytics, data-driven demand response, and carbon market integration.

Bahram Nassersharifمشاهده پروفایل

استاد

• Nuclear Engineering
• Mechanical Systems Design
• Nuclear Safety & Safeguards
• +۳ مورد دیگر

Bahram Nassersharif is a Distinguished University Professor in the Department of Mechanical, Industrial and Systems Engineering at the University of Rhode Island. He specializes in nuclear systems safety, engineering simulation, and capstone design methodologies. His research integrates advanced computational modeling with practical engineering challenges in nuclear propulsion and safeguard systems. Education: Ph.D. in Nuclear Engineering from Oregon State University (1983). His work spans over four decades with a focus on nuclear thermal rocket technology, radiation safety protocols, and educational innovation in engineering curricula. He has contributed extensively to the design of safeguards for nuclear facilities and has pioneered structured approaches for industry-sponsored capstone projects. Research Interests: Nuclear reactor engineering, thermal-hydraulic modeling, safety-by-design principles, and pedagogical methods in engineering education. His work bridges theoretical modeling (e.g., cellular automata neutron transport simulations) with real-world applications like autonomous underwater vehicle systems. Notable Projects: Development of fuel handling systems for research reactors, radar-based defect detection in heat exchangers, and long-term thermal analysis for spent nuclear fuel repositories. His contributions emphasize interdisciplinary collaboration between academia and industry. Labs/Teams: Active involvement in the Fascitelli Center for Advanced Engineering, focusing on advanced nuclear systems and educational innovation. His research often involves cross-disciplinary teams addressing global engineering challenges.

Muhammad Naveedمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Geoenvironmental Engineering
• Soil Mechanics
• +۵ مورد دیگر

Dr. Muhammad Naveed is an Associate Professor in Civil Engineering at the University of West London, affiliated with the School of Computing and Engineering. He specializes in geotechnical and geoenvironmental engineering, with expertise in soil mechanics, material science, and root-soil interactions. Prior to his current role, he served as a Lecturer at the University of the West of Scotland and a Research Fellow at the University of Aberdeen. His research focuses on soil stabilization techniques, environmental engineering applications, and the impact of biological factors (e.g., root hairs, plant mucilage) on soil properties. He has contributed to projects across the UK and Europe, addressing challenges in slope stability, road deterioration, and sustainable construction materials. Dr. Naveed is a member of the Pakistan Engineering Council and an Associate Fellow of the UK Higher Education Academy, reflecting his dedication to both research and academic excellence. His work bridges civil engineering with interdisciplinary fields like environmental science and plant biology, emphasizing practical solutions for infrastructure resilience and ecological sustainability. Education and Qualifications: BEng (Hons) Civil and Environmental Engineering BEng (Hons) Civil Engineering MSc Civil and Environmental Engineering MSc Civil Engineering PhD Civil Engineering Research Interests: Dr. Naveed’s research spans geotechnical engineering, environmental engineering, and soil-plant interactions. He explores topics such as soil stabilization using novel materials (e.g., cement, Guar Gum), the effects of wetting-drying cycles on soil properties, and the role of root hairs and exudates in enhancing soil structure. His work addresses real-world challenges like slope stability, road infrastructure deterioration, and sustainable construction practices. He employs advanced techniques like X-ray computed tomography and non-destructive testing to analyze soil behavior at micro and macro scales. Publications: His recent publications highlight trends in soil stabilization mechanisms, root-soil interaction dynamics, and the application of deep learning in intrusion detection systems. These studies emphasize interdisciplinary approaches to solve complex engineering and environmental problems, such as optimizing soil compaction techniques and mitigating erosion risks.

Toktam Ramezanifarkhaniمشاهده پروفایل

دانشیار

• Information Security
• IoT Security
• Cybersecurity
• +۲ مورد دیگر

Toktam Ramezanifarkhani is an Associate Professor at Kristiania University College's School of Economics, Innovation and Technology. She teaches information security, risk management, and governance across bachelor's and master's programs. Her research spans Cybersecurity with specializations in IoT security, malware analysis, and human factors in security. Research Focus: She investigates theoretical and practical aspects of Information Security including Software Security, Vulnerability Analysis, Applied Cryptography, and Formal Methods. Recent work explores AI applications in cybersecurity and DevSecOps integration. Student Advising: Actively supervises graduate research in: IoT Security Machine Learning for Authentication Malware Analysis Formal Methods in Security Recent Publications: Her scholarly output demonstrates consistent focus on security frameworks, privacy-by-design architectures, and threat mitigation in distributed systems, with recurrent themes in IoT security and compliance mechanisms.

• Structural Health Monitoring
• Wind Energy
• Graph Neural Networks
• +۳ مورد دیگر

Dr. Gregory Duthé is a researcher at the ETH Zürich in the Structural Mechanics and Monitoring department. His work bridges computational modeling and structural diagnostics with applications in renewable energy systems. Research contributions include: Development of Graph Neural Networks for aerodynamic flow reconstruction Advancements in wake-induced load estimation for wind farms Innovations in unsupervised fault detection for offshore turbine systems Key publication trends show focus on physics-informed machine learning (2025), multi-agent infrastructure decision support (2025), and leading edge erosion modeling (2021). He combines graph-based architectures with structural health monitoring techniques across wind energy applications. Contact: duthe@ibk.baug.ethz.ch

• Computer Networks
• Cybersecurity
• Digital Resilience
• +۵ مورد دیگر

Professor Dimitrios Pezaros is a full Professor of Computer Networks and holds the Royal Academy of Engineering Research Chair in Digital Resilience for Critical National Infrastructure at the University of Glasgow's School of Computing Science. He leads the Networked Systems Research Laboratory (Netlab) and directs the Glasgow Cyberdefence Lab. His roles include former Head of the Glasgow Systems Section (GLASS) and visiting professor at the University of Athens. Education: BSc (Hons) and PhD in Computer Science from Lancaster University Doctoral fellow of Agilent Technologies Inc. (2000–2004) Research Interests: Focuses on network and service management, digital resilience of critical infrastructures, and next-generation networking technologies like NFV and SDN. His work emphasizes cybersecurity for industrial systems, programmable networks, and edge computing. Grants & Funding: Secured major grants from EPSRC, EC, Dstl, RAEng, and industry partners (BT, EDF, NXP). Currently serves on the EPSRC Digital Security and Resilience Strategic Advisory Team. Labs & Teams: Leads Netlab and Glasgow Cyber Defence Lab, advancing research in programmable network architectures, OT security, and resilience engineering. Active in industry partnerships for applied research.

Feng Wangمشاهده پروفایل

استادیار

• Next Generation Internet
• Network Performance Measurement
• Big Data Verification
• +۶ مورد دیگر

Dr. Feng Wang is an Assistant Professor in the School of Engineering at Liberty University, specializing in network reliability, interdomain routing, and software-defined networking. His research addresses challenges in next-generation internet architectures, network performance measurement, and secure IoT device management. Education: B.E. in Electrical and Computer Engineering from Zhejiang University (China) M.S. in Electrical and Computer Engineering from Yanshan University (China) Ph.D. in Electrical and Computer Engineering from the University of Massachusetts, Amherst Research focuses on: - Detecting transient routing failures and improving network performance through real-time diagnostic systems (e.g., collaboration with AT&T). - Designing scalable addressing schemes for IoT and wireless sensor networks. - Developing intrusion detection systems (e.g., MOCA framework) and network anomaly mitigation techniques. His publications (2015-2023) emphasize network security, routing protocol optimization, and scalable internet architectures. Notable work includes BGP rerouting solutions, real-time routing failure diagnosis, and variable-length addressing for 6LoWPAN. No scientific awards were explicitly listed in the provided texts. Collaborations include Agilent, AT&T, and Intel, focusing on practical network reliability and security solutions. Dr. Wang has advised no listed students or managed grants in the provided texts. His research extends to lab implementations of lightweight routers (SoC-based) and stability-aware protocols for RPL networks.

• Cybersecurity
• Intrusion Detection
• Anomaly Detection
• +۵ مورد دیگر

Grzegorz Kołaczek is a faculty member at the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, affiliated with the Department of Computer Science and Systems Engineering . His research focuses on cybersecurity , intrusion detection , and security modeling with specific interests in Trust-based security frameworks IoT cybersecurity Anonymity protocols Fraud detection in digital systems . His recent publications emphasize the intersection of cybersecurity and emerging technologies , particularly in Internet of Things environments and e-commerce platforms. Key research trends include collaborative intrusion detection , adaptive user interfaces , and machine learning for threat analysis . Contact: grzegorz.kolaczek@pwr.edu.pl

Claudia Álvarez Aparicioمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Cybersecurity in Autonomous Systems
• +۳ مورد دیگر

Claudia Álvarez Aparicio is an Assistant Professor at the Department of Mechanical, Informatics and Aerospace Engineering, within the College of Industrial, Informatics and Aerospace Engineering at the University of León. Her work focuses on robotics, cybersecurity, and machine learning applications in autonomous systems. Doctorate in Machine Learning for Service Robots (2022) Research interests span Robotics , Cybersecurity , and Machine Learning . Her recent publications analyze Cybersecurity in robotic platforms, SQL injection detection , blockchain-based black boxes , and unsupervised learning for traffic anomalies. Key themes include LiDAR sensors , autonomous systems , and security evaluation .